Ethics and Responsible AI Use

As AI becomes more integrated into our lives, we must consider the ethical implications of using these tools.

1. Bias in AI

AI models are trained on data from the internet, which contains human biases regarding race, gender, and culture.

Stereotyping: The model might default to certain stereotypes in its output.
Invisibility: Certain cultures or languages may be underrepresented.

2. Privacy and Security

[!CAUTION] Never enter sensitive personal, corporate, or financial data into ChatGPT. By default, your conversations may be used to train future models.

How to Stay Safe:

Anonymize Data: Change names and specific details before pasting text.
Settings: Use "Team" or "Enterprise" versions, or turn off "Chat History & Training" in your settings.

3. The Impact on Work

AI is automating tasks, not just jobs.

Augmentation: Helping humans do their jobs faster.
Displacement: Automating roles like basic translation or data entry.

4. Academic Integrity

Using AI for school or work without disclosure is a major ethical concern. Always check your organization's policy on AI use.

mindmap
    root((Responsible AI))
        Bias
            Gender
            Racial
            Cultural
        Privacy
            Data Storage
            Training Data
            Anonymization
        Impact
            Job Displacement
            Productivity Boost
            Digital Divide
        Transparency
            Disclosure
            Sourcing

Hands-on: Review AI Settings

Open ChatGPT Settings.
Navigate to Data Controls.
Toggle "Chat History & Training" to see the options.
Read what happens when you turn it off (you lose history, but your data isn't used for training).

Key Takeaways

You are the editor: You are responsible for the output you publish.
Privacy is paramount: Don't share secrets with the AI.
Bias is baked-in: Always look for and correct biased results.

Module 1 Lesson 5: Ethics and Responsible AI Use